utiml: Utilities for Multi-Label Learning

Multi-label learning strategies and others procedures to support multi-
label classification in R. The package provides a set of multi-label procedures such as
sampling methods, transformation strategies, threshold functions, pre-processing
techniques and evaluation metrics. A complete overview of the matter can be seen in
Zhang, M. and Zhou, Z. (2014) <doi:10.1109/TKDE.2013.39> and Gibaja, E. and
Ventura, S. (2015) <doi:10.1145/2716262>.